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Welcome to the Vulcan wiki!

Introduction

Vulcan is a high-level framework built on top of Theano and Lasagne using added functionality from Scikit-learn to provide all of the tools needed for visualizing high-dimensional data, data preprocessing, the creation of neural networks and several techniques for evaluating models. This framework was designed with both modularity and ease of use in mind so prototyping architectures is very simple and using them across many machines is even easier. Moreover, it comes with state of the art activations, ensemble methods and network interpretability techniques that all take part in finding the right model for a set of data. Here we will describe the use of the API to modify and train your own networks in addition to all of the tools at hand.

Contents

• Getting started
• How to use
• Advanced features
• Utilities